This research proposes a computational framework for representing and rendering Indic music notation systems on computers. The work addresses the difficulty of digitizing Indian music scores because notation systems such as Bhatkhande, Paluskar, and Akarmatrik differ significantly from Western staff notation and often rely on language-specific scripts and flexible structures.

Link to the paper [TENOR 2016]

This work presents SangeetTEX, a LaTeX-based system for digitally transcribing and rendering Indic music notation, particularly Rabindra Sangeet. Built on the Swaralipi matrix model, it organizes musical symbols, rhythm markers, and lyrics into a structured representation that enables high-quality music-sheet generation. The system also implements algorithms to position notation elements and render complex ornaments like Meend, making it suitable for digital archiving, music education, and computational analysis of Indic music notation.

Link to the paper [TENOR 2022]

This work introduces SangeetXML, an XML-based format for encoding and retrieving Indic music scores and lyrics. Based on the Swaralipi 2D matrix model, it represents rhythmic, melodic, and structural elements of music sheets and enables efficient search of notes and lyrics using XQuery, supporting digital archiving and retrieval of Indic music compositions.

Link to the paper [MMASIA 2021]

SANGEET is an XML-based open dataset designed for research in Hindustani classical music. It encodes compositions with detailed metadata, notation, rhythmic (taal), and melodic (raag) structures in a standardized format. The dataset enables applications such as music visualization, music information retrieval, and machine learning analysis of raag and musical patterns. It provides a structured digital resource to support computational musicology and MIR research.

Link to the paper [CMMR 2023]

This work proposes a symbolic music processing architecture for preserving and retrieving Hindustani music notation in digital libraries. The system models music sheets using a 2D matrix representation and stores compositions in an XML-based database containing metadata, rhythmic (taal), melodic (raag), and notation information. It enables fine-grained retrieval of musical scores and lyrics using XQuery and dynamically renders music sheets through a visualization module. The framework supports structured access and digital preservation of Bhatkhande notation-based compositions.

Link to the paper [JCDL 2025]